Abstract
Although general rules for the differentiation between benign and malignant mammographically-identified breast lesions exist, considerable misclassification of lesions occurs with current imaging and interpretation methods [1]–[6]. The purpose of our study is to develop computerized methods for the analysis of mass lesions on digitized mammograms and on ultrasound images for aiding in the task of distinguishing between malignant and benign lesions. This should lead to (1) an improvement in the classification sensitivity for malignant lesions and (2) an increase in the classification specificity and thus, a reduction in the number of unnecessary biopsies. Higher performance is expected when a combination of features from mammographie and ultrasound images is used as an aid to radiologists in the task of distinguishing between malignant and benign lesions.
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© 1998 Springer Science+Business Media Dordrecht
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Giger, M.L. et al. (1998). Computer-Aided Diagnosis of Digital Mammography and Ultrasound Images of Breast Mass Lesions. In: Karssemeijer, N., Thijssen, M., Hendriks, J., van Erning, L. (eds) Digital Mammography. Computational Imaging and Vision, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5318-8_23
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DOI: https://doi.org/10.1007/978-94-011-5318-8_23
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